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Critical Condition: A Historian's Prognosis on Canada's Aging Healthcare System

2010· preprint· en· W3126127853 sur OpenAlexaboutno aff
Michael Bliss

Notice bibliographique

RevueTSpace (University of Toronto) · 2010
Typepreprint
Langueen
DomaineSocial Sciences
ThématiqueCanadian Policy and Governance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBLISSDeferenceHealth carePolitical sciencePoliticsPublic administrationPolitical economySociologyLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Foreword
\nWhen a set of public policies fundamental to our wellbeing is so politically sensitive and shot
\nthrough with conflicting real and perceived conflicts of interest as to produce paralysis, a smart
\nand wise historian can often provide the long-term, evolutionary perspective required to find the
\nmore promising ways forward. Canadian healthcare is fundamental to our wellbeing and so
\npolitically charged that despite its widely perceived shortcomings, attempts at fundamental reform
\nappear the electoral equivalent of touching the proverbial third rail on a subway track. Professor
\nMichael Bliss is one of Canada’s most able and eminent historians. The C.D. Howe Institute’s 2010
\nBenefactors Lecture is his attempt to take stock of publicly funded healthcare in Canada in the light
\nof how it came to be, and give his assessment of the right directions forward to ensure that it serves
\nCanadians well in the decades ahead.
\nA good historian draws from many disciplines, and Professor Bliss’s account draws on
\ninsights from medicine, political science, economics, and much else. His account of the
\ndevelopment of what Canadians nowadays call “medicare” from provincial coverage of doctor and
\nhospital services in the 1960s through the federal Canada Health Act in the 1980s and the
\nalternating dips and boosts in spending in the 1990s and 2000s is clear and compelling. Without
\nundue deference to any particular perspective, he argues convincingly that an economically
\nadvanced democratic society will devote a growing share of its resources to healthcare, and that
\nCanadians’ support for access to it is a fact of life that even medicare’s more vociferous critics must
\naccommodate in their reform proposals.
\nWhen it comes to his own advice for reform, Professor Bliss puts forward some
\npropositions that will – like all changes to healthcare – inevitably be controversial. He draws on
\nexperiences with other major programs in the Canadian welfare state, family and old-age benefits
\nin particular, to argue that reducing public commitments to the healthcare of Canadians who are
\nable to pay their own way is both fiscally necessary and politically acceptable. Hence, he
\nencourages the evolution of our health insurance system from providing universality of benefits
\nonto a needs basis, preserving the core value of equal access. Economists and others concerned
\nwith the way income- and asset-related withdrawal of benefits from the better off have produced
\nwelfare walls and high effective marginal tax rates on modest-income people will have reservations
\nabout this proposal. If he is right that it is the way out of the chronic fiscal squeeze that otherwise
\nlooms, however, the challenge is to craft the most adept way to do it.
\nIn an age of reduced deference to experts of all kinds, Professor Bliss’s second
\nrecommendation – that Canadians accept that medical researchers and practitioners should play
\na more prominent role in determining what is medically necessary – will also raise objections. It
\nmay presuppose a level of confidence in professional expertise, and improved standards for
\nresearch and practice that would justify that confidence, that medicine, like all fields, has yet to
\nachieve. Yet the importance of specialized knowledge in determining what is likeliest to work is so
\ncritical in medicine that the problems of letting third parties, including health ministries, overrule
\nresearchers and practitioners in the field oblige us to take this advice seriously.
\nProfessor Bliss’s third observation is less about how to move forward than it is about not
\nstaying stuck where we are. Whatever the devotion of some Canadians and a handful of advocates
\nabroad to a single-payer government monopoly model may be, he points out that no other
\ndeveloped country has imitated it, and none is about to. Canada’s current approach is a product
\nof specific Canadian circumstances, not least of which is its emblematic status as a differentiator
\nof Canada from the United States – hardly a sound basis for determining how to provide and pay
\nfor the vast array of medical services that determine how healthy or sick we are, and even whether
\nwe live or die. His appeal to use more market mechanisms to harness the incentives of producers
\nand patients in the service of better outcomes, rather than lamenting or denouncing them, is a
\ngeneral exhortation. In practice, it will require balancing against his other suggestions to abandon
\nuniversality and defer more to medical expertise. Yet there can be no doubt that any reform that
\ndoes not harness these incentives effectively cannot hope to succeed.
\nThe C.D. Howe Institute’s Benefactors Lecture is intended to encourage better understanding
\nof major Canadian public policy challenges, and stimulate debate about how best to meet them.
\nMany people besides Professor Bliss deserve credit for producing the 2010 version of the Lecture:
\nI thank Pfizer for their financial support, the reviewers of earlier drafts for their comments, Barry
\nNorris and James Fleming for their editing, and Bryant Sinanan for his page layout. As with all the
\nInstitute publications, the opinions expressed here are those of the author, and do not necessarily
\nrepresent the views of the Institute’s members or Board of Directors. I commend Professor Bliss
\nfor having ably responded to the challenge of addressing the condition of Canadian healthcare,
\nhowever, and hope all readers will take from it his valuable insights about how we got where we
\nare, and what can help us do better.
\n(William B.P. Robson
\nPresident and Chief Executive Officer
\nC.D. Howe Institute)

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,932
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,284
Écart entre enseignants0,264 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2010
Routes d'admission1
Résumé présentoui

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